
Understand traditional automation, or robotic process automation, where software robots mimic human actions to complete high-volume, repetitive tasks via the user interface.
AI agent is a system that perceives its environment, reasons to achieve predefined goals, and takes autonomous actions, learning and adapting through feedback in a continuous loop.
Trace the four phases of automation—from traditional RPA to intelligent automation, GenAI, and agentic automation—showing how autonomous agents plan, act, and optimize end-to-end workflows.
Microsoft Copilot Studio enables low-code agent creation with deep Teams, Outlook, SharePoint integration and 1400+ data sources. Microsoft Foundry (formerly Azure AI Foundry) provides AI development with governance and MLOps.
Discover how Microsoft Copilot orchestrates the LLM, Microsoft Graph, and Microsoft 365 Apps to transform a text prompt into a concrete work product, grounding data and providing context.
Explore Microsoft Copilot Studio, a low-code platform for creating and managing ai-powered agents and agent flows that autonomously plan tasks, connect to data via WorkIQ, and act across 1,400-plus apps.
Build a banking email service agent with Copilot Studio, configuring triggers, actions, templates, and knowledge sources. Test and publish the agent to handle banking tasks like new accounts and KYC.
Learn two methods to execute copilots with Power Automate for cloud: auto-create cloud flows from co-pilot studio triggers, or manually run agents with execute agent and wait actions.
Title: Microsoft Copilot Studio : Future of AI Agents
Description:
Learn how to design, build, and deploy powerful AI agents using Microsoft Copilot Studio and the Power Platform. This course covers conversational AI, agent development, integrations, and enterprise AI architecture.
Course Link:
https://www.udemy.com/course/mastering-microsoft-copilot-studio-future-of-ai-agents/
This course teaches learners how to build AI copilots, integrate enterprise data, and automate workflows using Microsoft Copilot Studio and Azure OpenAI, even without deep programming knowledge.
Key things you’ll learn include:
Building AI agents and copilots from scratch
Working with topics, entities, and variables
Integrating with Dataverse, APIs, and Power Automate
Implementing RAG (Retrieval Augmented Generation)
Applying security, governance, and enterprise deployment practices
Cloud Code is an ai coding assistant that generates, debugs, explains, and documents code using natural language. It understands projects to boost productivity and collaboration while promoting responsible ai use.
A hands-on training designed to teach you how to design, build, and publish AI agents using Microsoft Copilot Studio — a low-code, user-friendly platform that lets organizations create intelligent assistants without heavy programming.
Key Topics Covered
Introduction to Copilot Studio and core concepts of AI agents.
How to create and configure agents using natural language prompts.
Building conversation topics, trigger phrases, and response flows.
Integrating knowledge sources and automation tools to enrich agent behavior.
Testing, deploying, and publishing agents to platforms like Microsoft Teams, web, or 365 environments.
Use cases ranging from chat assistants to workflow automations and task‐completing bots.
Who It’s For
Business professionals and app makers who want to rapidly build custom AI assistants with minimal coding.
Beginner to intermediate users looking to automate workflows or build conversational AI systems.
Outcome
Learners will be able to create functional, AI-powered agents that respond to user queries, help complete tasks, and integrate with business data and services — all within the Copilot ecosystem.
Microsoft Foundry (formerly Azure AI Foundry) is a unified enterprise AI platform where developers can build, test, manage, and scale AI applications and agents with robust governance, observability, and tooling support. It combines models, tools, and workflows within a single portal for enterprise-grade AI operations.